iPhone 11
Geekbench ML Score
682
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 10:56 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.1 |
| Model | iPhone 11 |
| Model ID | iPhone12,1 |
| Motherboard | N104AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| L1 Instruction Cache | 96.0 KB x 1 |
| L1 Data Cache | 48.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.76 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
514
55.1 IPS |
|
|
Image Classification (F16)
|
100% |
518
55.5 IPS |
|
|
Image Classification (I8)
|
81% |
404
43.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
628
3.88 IPS |
|
|
Image Segmentation (F16)
|
100% |
709
4.38 IPS |
|
|
Image Segmentation (I8)
|
89% |
1081
6.68 IPS |
|
|
Pose Estimation (F32)
|
100% |
191
0.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
203
0.82 IPS |
|
|
Pose Estimation (I8)
|
80% |
327
1.32 IPS |
|
|
Object Detection (F32)
|
100% |
771
27.1 IPS |
|
|
Object Detection (F16)
|
100% |
762
26.7 IPS |
|
|
Object Detection (I8)
|
52% |
598
21.0 IPS |
|
|
Face Detection (F32)
|
100% |
944
10.8 IPS |
|
|
Face Detection (F16)
|
100% |
928
10.7 IPS |
|
|
Face Detection (I8)
|
75% |
704
8.08 IPS |
|
|
Text Classification (F32)
|
100% |
1944
769.0 IPS |
|
|
Text Classification (F16)
|
100% |
1903
752.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1132
174.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1173
180.8 IPS |
